Bronchoalveolar lavage proteomics in patients with suspected lung cancer
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.18/4803 |
Resumo: | Lung cancer configures as one of the deadliest types of cancer. The future implementation of early screening methods such as exhaled breath condensate analysis and low dose computed tomography (CT) as an alternative to current chest imaging based screening will lead to an increased burden on bronchoscopy units. New approaches for improvement of diagnosis in bronchoscopy units, regarding patient management, are likely to have clinical impact in the future. Diagnostic approaches to address mortality of lung cancer include improved early detection and stratification of the cancers according to its prognosis and further response to drug treatment. In this study, we performed a detailed mass spectrometry based proteome analysis of acellular bronchoalveolar lavage (BAL) fluid samples on an observational prospective cohort consisting of 90 suspected lung cancer cases which were followed during two years. The thirteen new lung cancer cases diagnosed during the follow up time period clustered, based on liquid chromatography-mass spectrometry (LC-MS) data, with lung cancer cases at the time of BAL collection. Hundred and thirty-tree potential biomarkers were identified showing significantly differential expression when comparing lung cancer versus non-lung cancer. The regulated biomarkers showed a large overlap with biomarkers detected in tissue samples. |
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Bronchoalveolar lavage proteomics in patients with suspected lung cancerLung CancerProteomicsLung cancer configures as one of the deadliest types of cancer. The future implementation of early screening methods such as exhaled breath condensate analysis and low dose computed tomography (CT) as an alternative to current chest imaging based screening will lead to an increased burden on bronchoscopy units. New approaches for improvement of diagnosis in bronchoscopy units, regarding patient management, are likely to have clinical impact in the future. Diagnostic approaches to address mortality of lung cancer include improved early detection and stratification of the cancers according to its prognosis and further response to drug treatment. In this study, we performed a detailed mass spectrometry based proteome analysis of acellular bronchoalveolar lavage (BAL) fluid samples on an observational prospective cohort consisting of 90 suspected lung cancer cases which were followed during two years. The thirteen new lung cancer cases diagnosed during the follow up time period clustered, based on liquid chromatography-mass spectrometry (LC-MS) data, with lung cancer cases at the time of BAL collection. Hundred and thirty-tree potential biomarkers were identified showing significantly differential expression when comparing lung cancer versus non-lung cancer. The regulated biomarkers showed a large overlap with biomarkers detected in tissue samples.All experiments including MS analysis were supported by Fundação para a Ciência e Tecnologia project EXPL/ DTP-PIC/0616/2013. RM is supported by FCT investigator program 2012 (IF/01002/2012). ASC is supported by grant SFRH/BPD/85569/2012 funded by Fundação para a Ciência e Tecnologia.Nature Publishing GroupRepositório Científico do Instituto Nacional de SaúdeCarvalho, A.S.Cuco, C.M.Lavareda, C.Miguel, F.Ventura, M.Almeida, S.Pinto, P.de Abreu, T.T.Rodrigues, L.V.Seixas, S.Bárbara, C.Azkargorta, M.Elortza, F.Semedo, J.Field, J.K.Mota, L.Matthiesen, R.2017-11-03T15:17:19Z2017-02-072017-02-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.18/4803engSci Rep. 2017 Feb 7;7:42190. doi: 10.1038/srep42190.2045-232210.1038/srep42190info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-20T15:40:29Zoai:repositorio.insa.pt:10400.18/4803Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:39:30.615687Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Bronchoalveolar lavage proteomics in patients with suspected lung cancer |
title |
Bronchoalveolar lavage proteomics in patients with suspected lung cancer |
spellingShingle |
Bronchoalveolar lavage proteomics in patients with suspected lung cancer Carvalho, A.S. Lung Cancer Proteomics |
title_short |
Bronchoalveolar lavage proteomics in patients with suspected lung cancer |
title_full |
Bronchoalveolar lavage proteomics in patients with suspected lung cancer |
title_fullStr |
Bronchoalveolar lavage proteomics in patients with suspected lung cancer |
title_full_unstemmed |
Bronchoalveolar lavage proteomics in patients with suspected lung cancer |
title_sort |
Bronchoalveolar lavage proteomics in patients with suspected lung cancer |
author |
Carvalho, A.S. |
author_facet |
Carvalho, A.S. Cuco, C.M. Lavareda, C. Miguel, F. Ventura, M. Almeida, S. Pinto, P. de Abreu, T.T. Rodrigues, L.V. Seixas, S. Bárbara, C. Azkargorta, M. Elortza, F. Semedo, J. Field, J.K. Mota, L. Matthiesen, R. |
author_role |
author |
author2 |
Cuco, C.M. Lavareda, C. Miguel, F. Ventura, M. Almeida, S. Pinto, P. de Abreu, T.T. Rodrigues, L.V. Seixas, S. Bárbara, C. Azkargorta, M. Elortza, F. Semedo, J. Field, J.K. Mota, L. Matthiesen, R. |
author2_role |
author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Nacional de Saúde |
dc.contributor.author.fl_str_mv |
Carvalho, A.S. Cuco, C.M. Lavareda, C. Miguel, F. Ventura, M. Almeida, S. Pinto, P. de Abreu, T.T. Rodrigues, L.V. Seixas, S. Bárbara, C. Azkargorta, M. Elortza, F. Semedo, J. Field, J.K. Mota, L. Matthiesen, R. |
dc.subject.por.fl_str_mv |
Lung Cancer Proteomics |
topic |
Lung Cancer Proteomics |
description |
Lung cancer configures as one of the deadliest types of cancer. The future implementation of early screening methods such as exhaled breath condensate analysis and low dose computed tomography (CT) as an alternative to current chest imaging based screening will lead to an increased burden on bronchoscopy units. New approaches for improvement of diagnosis in bronchoscopy units, regarding patient management, are likely to have clinical impact in the future. Diagnostic approaches to address mortality of lung cancer include improved early detection and stratification of the cancers according to its prognosis and further response to drug treatment. In this study, we performed a detailed mass spectrometry based proteome analysis of acellular bronchoalveolar lavage (BAL) fluid samples on an observational prospective cohort consisting of 90 suspected lung cancer cases which were followed during two years. The thirteen new lung cancer cases diagnosed during the follow up time period clustered, based on liquid chromatography-mass spectrometry (LC-MS) data, with lung cancer cases at the time of BAL collection. Hundred and thirty-tree potential biomarkers were identified showing significantly differential expression when comparing lung cancer versus non-lung cancer. The regulated biomarkers showed a large overlap with biomarkers detected in tissue samples. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11-03T15:17:19Z 2017-02-07 2017-02-07T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.18/4803 |
url |
http://hdl.handle.net/10400.18/4803 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Sci Rep. 2017 Feb 7;7:42190. doi: 10.1038/srep42190. 2045-2322 10.1038/srep42190 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Nature Publishing Group |
publisher.none.fl_str_mv |
Nature Publishing Group |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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